CN110517072A - Method for pushing, device, equipment and the computer readable storage medium of information of vehicles - Google Patents
Method for pushing, device, equipment and the computer readable storage medium of information of vehicles Download PDFInfo
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- CN110517072A CN110517072A CN201910762719.1A CN201910762719A CN110517072A CN 110517072 A CN110517072 A CN 110517072A CN 201910762719 A CN201910762719 A CN 201910762719A CN 110517072 A CN110517072 A CN 110517072A
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Abstract
The present invention discloses method for pushing, device, equipment and the computer readable storage medium of a kind of information of vehicles, each preset vehicle information is carried out browsing operation data generated the described method includes: acquisition user is based on network, and operation data is screened, determine the vehicle model information that user is browsed；Number of operations corresponding with each vehicle model information and operation duration in read operation data, and according to each number of operations and each operation duration, determine the preference vehicle of user；Each preference vehicle is ranked up, vehicle sequence, and putting in order according to preference vehicle each in vehicle sequence is generated, obtains each target vehicle model information；Each target vehicle model information is output to the terminal that user held based on putting in order.This programme improves the accuracy of the push of information of vehicles so that meeting the preference demand of user according to the vehicle that it is recommended based on the big data analysis technology vehicle sequence characterization generated demand of user.
Description
Technical field
The invention mainly relates to technical field of data processing, specifically, being related to a kind of method for pushing of information of vehicles, dress
It sets, equipment and computer readable storage medium.
Background technique
With the development of internet technology, more and more abundant by consulting and resource provided by the network platform, such as pass through
Network checks news, bulletin, notifies, makes sundry purchases；On the one hand user can lead to when buying to article
It crosses the network platform directly to buy, on the other hand can also first check Item Information in the network platform, then tried out at the scene
Purchase etc..If user is when buying vehicle, then the relevant information of various vehicles first is browsed in 0vehicle marketing platform, when clear
When looking to the vehicle for meeting its demand, then test ride etc. under line is carried out.
But information of vehicles provided by 0vehicle marketing platform is numerous and constantly updates, for the ease of user's fast browsing to completely
The vehicle of its demand of foot, sale of automobile platform are usually provided with recommendation mechanisms；It is gone through in the recent period according to user for what automobile was browsed
History information recommends vehicle to user.But it is generated because recent history information may be by the maloperation of user, there is inaccuracy；
So that vehicle recommended to the user is also inaccurate, it is not able to satisfy user demand.
Summary of the invention
The main object of the present invention is to provide the method for pushing of information of vehicles a kind of, device, equipment and computer-readable deposits
Storage media, it is intended to solve the problem of that vehicle inaccuracy recommended to the user is not able to satisfy user demand in the prior art.
To achieve the above object, the present invention provides a kind of method for pushing of information of vehicles, the push side of the information of vehicles
Method the following steps are included:
Acquisition user is based on network and carries out browsing operation data generated to each preset vehicle information, and to the operation
Data are screened, and determine the vehicle model information that the user is browsed；
Number of operations corresponding with each vehicle model information and operation duration in the operation data are read, and according to each institute
Number of operations and each operation duration are stated, determines the preference vehicle of the user；
Each preference vehicle is ranked up, generates vehicle sequence, and according to the preference each in the vehicle sequence
Vehicle puts in order, and obtains each target vehicle model information；
Each target vehicle model information is output to the terminal that the user held based on described put in order.
Preferably, described according to each number of operations and each operation duration, determine the preference vehicle of the user
The step of include:
Each number of operations and the first preset threshold are compared, determines and is greater than described first in each number of operations in advance
If the object run number of threshold value；
Each operation duration and the second preset threshold are compared, determines and is greater than described second in each operation duration in advance
If the object run duration of threshold value；
Determine preference vehicle corresponding with the object run number and/or object run duration in each vehicle model information
Information, and vehicle corresponding with each preference vehicle model information is determined as to the preference vehicle of the user.
Preferably, described that each preference vehicle is ranked up, generate vehicle sequence the step of include:
The loan data in the operation data is read, and according to the loan data and the operation data, generates and borrows
The loan attention rate ratio and preset ratio are compared, judge whether the loan attention rate ratio is big by money attention rate ratio
In the preset ratio；
If more than the preset ratio, then object run number corresponding to each preference vehicle and/or target are grasped
It is integrated as duration, generates the preference coefficient of each preference vehicle, and close according to the size between each preference coefficient
System, is ranked up each preference vehicle, generates vehicle sequence.
Preferably, described that object run number corresponding to each preference vehicle and/or object run duration are carried out
Integration, the step of generating the preference coefficient of each preference vehicle include:
Object run number corresponding to each preference vehicle and preset times section are compared, determine each preference
The number coefficient of vehicle；
Object run duration corresponding to each preference vehicle and preset duration section are compared, determine each preference
The duration coefficient of vehicle；
The first weighted value corresponding with the number of operations and the operation duration and the second weighted value are read, is used in combination
First weighted value and the number coefficient to each preference vehicle and the duration coefficient weighting processing respectively of the second weighted value,
Generate the preference coefficient of each preference vehicle.
Preferably, described to judge include: after the step of whether the loan attention rate ratio is greater than the preset ratio
If being not more than the preset ratio, the pricing information of each preference vehicle is read, and acquire and the user
The corresponding basic information of economic situation；
According to the basic information, the savings information of the user is determined, and by the savings information and each price
Information comparison, generates each comparing result；
According to each comparing result, each preference vehicle is ranked up, generates vehicle sequence.
Preferably, include: before described the step of being screened to the operation data
The identity information of the user is read, and according to the identity information, determines whether the user has user's vehicle
；
If the user has user's vehicle, the vehicle insurance information of user's vehicle is read, and according to each vehicle insurance
Information recommends vehicle insurance to the user；
If the user does not have the step of user's vehicle, the operation data is screened in execution.
Preferably, described according to each vehicle insurance information, include: to the step of user recommendation vehicle insurance
By in each vehicle insurance information timing information and the default time limit comparison, judge whether deposit in each timing information
In the target timing information for being less than the default time limit；
It is less than the target timing information in default time limit if it exists, it is determined that vehicle insurance class corresponding with the target timing information
Type；
Read corresponding with user's vehicle information of being in danger, and according to the information of being in danger, Xiang Suoshu user recommend and
The corresponding vehicle insurance of the vehicle insurance type.
In addition, to achieve the above object, the present invention also proposes a kind of driving means of information of vehicles, the information of vehicles
Driving means includes:
Acquisition module carries out browsing operand generated based on network for acquiring user to each preset vehicle information
According to, and the operation data is screened, determine the vehicle model information that the user is browsed；
Determining module, when for reading number of operations corresponding with each vehicle model information and operation in the operation data
It is long, and according to each number of operations and each operation duration, determine the preference vehicle of the user；
Sorting module generates vehicle sequence, and according to the vehicle sequence for being ranked up to each preference vehicle
In each preference vehicle put in order, obtain each target vehicle model information；
Recommending module is output to the user and is held for each target vehicle model information to be based on described put in order
Terminal.
In addition, to achieve the above object, the present invention also proposes a kind of pushing equipment of information of vehicles, the information of vehicles
Pushing equipment includes: the push journey of memory, processor, communication bus and the information of vehicles being stored on the memory
Sequence；
The communication bus is for realizing the connection communication between processor and memory；
The processor is used to execute the push products of the information of vehicles, to perform the steps of
Acquisition user is based on network and carries out browsing operation data generated to each preset vehicle information, and to the operation
Data are screened, and determine the vehicle model information that the user is browsed；
Number of operations corresponding with each vehicle model information and operation duration in the operation data are read, and according to each institute
Number of operations and each operation duration are stated, determines the preference vehicle of the user；
Each preference vehicle is ranked up, generates vehicle sequence, and according to the preference each in the vehicle sequence
Vehicle puts in order, and obtains each target vehicle model information；
Each target vehicle model information is output to the terminal that the user held based on described put in order.
In addition, to achieve the above object, it is described computer-readable the present invention also provides a kind of computer readable storage medium
Storage medium be stored with one perhaps more than one program the one or more programs can by one or one with
On processor execute to be used for:
Acquisition user is based on network and carries out browsing operation data generated to each preset vehicle information, and to the operation
Data are screened, and determine the vehicle model information that the user is browsed；
Number of operations corresponding with each vehicle model information and operation duration in the operation data are read, and according to each institute
Number of operations and each operation duration are stated, determines the preference vehicle of the user；
Each preference vehicle is ranked up, generates vehicle sequence, and according to the preference each in the vehicle sequence
Vehicle puts in order, and obtains each target vehicle model information；
Each target vehicle model information is output to the terminal that the user held based on described put in order.
The method for pushing of the information of vehicles of the present embodiment, it is clear to the progress of each preset vehicle information by being based on network to user
Operation data generated of looking at acquires, and screens to the operation data of the acquisition, determines the vehicle model information of user's browsing；Again
Number of operations corresponding with each vehicle model information and operation duration in read operation data, and when according to each number of operations and each operation
It is long, determine the preference vehicle of user；Hereafter each preference vehicle is ranked up, generates vehicle sequence, and according in vehicle sequence
Each preference vehicle puts in order, and obtains target vehicle model information；And then each target vehicle model information is based on putting in order being output to
The terminal that user is held is realized to user and recommends vehicle corresponding with each target vehicle model information.In this programme preference vehicle according to
It is generated according to the number of operations and operation duration of user's browsing, and vehicle sequence is arranged according to preference vehicle；So that according to vehicle sequence
The acquired target vehicle model information of column is to meet the vehicle model information of user preference, which is output to user terminal
Recommended, recommended vehicle may make accurately to meet the preference demand of user, improves the push of information of vehicles
Accuracy.
Detailed description of the invention
Fig. 1 is the flow diagram of the method for pushing first embodiment of information of vehicles of the invention；
Fig. 2 is the functional block diagram of the driving means first embodiment of information of vehicles of the invention；
Fig. 3 is the device structure schematic diagram for the hardware running environment that present invention method is related to.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
The present invention provides a kind of method for pushing of information of vehicles.
Fig. 1 is please referred to, Fig. 1 is the flow diagram of the method for pushing first embodiment of information of vehicles of the present invention.In this reality
It applies in example, the method for pushing of the information of vehicles includes:
Step S10, acquisition user are based on network and carry out browsing operation data generated to each preset vehicle information, and right
The operation data is screened, and determines the vehicle model information that the user is browsed；
The method for pushing of information of vehicles of the invention is applied to server, is suitable for through server according to user in network
On vehicle is carried out to browse operation data generated, recommend to meet the vehicle of its preference to user.User is having vehicle purchase
When demand, it will usually in the network platform sold to vehicle, be browsed to each information of vehicles, meet it to search
The vehicle of purchasing demand.Browse operation can generate various types of operation datas, the vehicle of such as each time targeted vehicle of browsing, respectively
The data such as the browsing time of vehicle, or to vehicle configuration information, price, whether support loan, loan limit etc. and check
Check data etc..Vehicle, browsing time in operation data etc. characterize the Demand perference of user, to the browsing of a certain vehicle
Number is more, and browsing duration is longer, then it is higher to the preference of the vehicle to characterize user.To be based on network to each to user
Preset vehicle information, which carries out browsing operation data generated, to be acquired, and wherein preset vehicle information is that can prop up in the network platform
The vehicle various information checked is held, and operation data collected in one section of preset time by generating；It is such as past with current time
In preceding one month, to ensure that operation data collected accurately reflects user's current demand.Hereafter operation data is sieved
Choosing, determines the vehicle model information that user is browsed, which is that user carries out in navigation process to each preset vehicle information
Involved vehicle, characterization user may the required vehicles bought.Involved vehicle is all kinds of in preset vehicle information
Information is distinguished by different marks, and after getting operation data, the various information in corresponding operation data is also carried
There is the mark for characterizing its type, so as to filter out vehicle model information from operation data according to mark.
Step S20 reads number of operations corresponding with each vehicle model information and operation duration in the operation data, and
According to each number of operations and each operation duration, the preference vehicle of the user is determined；
Further, user is different for the duration of the different automobile types number browsed and browsing in navigation process
Sample, using the number browsed for each vehicle as number of operations corresponding with each vehicle model information, and will be clear for each vehicle institute
The duration look at is as operation duration corresponding with each vehicle model information.Wherein user clicks vehicle model information, to vehicle model information
Once-through operation number of the operation checked as the vehicle；To in operation data generated within a preset time, user
Each time the number checked to each vehicle model information counts, and generates each number of operations in operation data.Simultaneously by user
That operation is once checked to vehicle model information checks duration, checks duration as the single to vehicle；To giving birth within a preset time
At operation data in, each single that user checks each vehicle model information checks that duration counts, generate operation data
In each operation duration.According to mark relevant to number of operations and operation duration, reads from operation data and believe with each vehicle
Corresponding number of operations and operation duration are ceased, i.e. user couple vehicle corresponding with each vehicle model information browses, each vehicle generated
The number of operations and operation duration of type；And then according to each number of operations and each operation duration, the preference vehicle of user is determined.Because right
The browsing time of vehicle is more, browsing duration is longer, i.e., number of operations corresponding to vehicle model information is more, browsing duration is longer,
The preference characterized is higher；So as to according to the numerical value between number of operations corresponding to each vehicle model information and browsing duration
Size relation, to determine the preference vehicle of user.Specifically, according to each number of operations and each operation duration, determine that user's is inclined
The step of good vehicle includes:
Step S21 compares each number of operations and the first preset threshold, determines and is greater than institute in each number of operations
State the object run number of the first preset threshold；
Step S22 compares each operation duration and the second preset threshold, determines and is greater than institute in each operation duration
State the object run duration of the second preset threshold；
In order to which the number of number of operations corresponding to each vehicle model information and the length of operation duration characterized, it is previously provided with
One preset threshold and the second preset threshold.Each number of operations is compared with first preset threshold one by one, determines each operation
It is greater than the number of operations of the first preset threshold in number；Each operation duration is compared with the second preset threshold one by one simultaneously,
Determine the operation duration for being greater than the second preset threshold in each operation duration.And then the number of operations that will be greater than the first preset threshold is true
It is set to object run number, and the operation duration that will be greater than the second preset threshold is determined as object run duration；Characterize user institute
In each vehicle of browsing, browsing time is more or browses the longer vehicle of duration.
Step S23 is determined corresponding with the object run number and/or object run duration in each vehicle model information
Preference vehicle model information, and vehicle corresponding with each preference vehicle model information is determined as to the preference vehicle of the user.
Understandably, user is during browsing each vehicle, it is more there are browsing time and browse duration compared with
Short vehicle perhaps browsing time it is less and browse the longer vehicle of duration or browsing time it is more and browsing duration compared with
Long vehicle；The three classes vehicle is the higher vehicle of user's attention rate, characterizes the preference of user.Target behaviour is being determined by contrast
After making number and object run duration, it can be determined from vehicle model information inclined according to the object run number and object run duration
Good vehicle model information.Number of operations and operation duration are corresponding with a certain vehicle model information, vehicle letter corresponding with object run number
Breath is the vehicle model information more than user's browsing time, and determines it as preference vehicle model information；Vehicle corresponding with object run duration
Type information is user's browsing time long vehicle model information, similarly also determines it as preference vehicle model information.When object run time
When number corresponds to same vehicle model information with object run duration, then it is more to the browsing time of the vehicle model information to characterize user, and browse
Time is long, focuses on the vehicle model information paid close attention to for user, and needs the vehicle model information being determined as preference vehicle model information.Because of each vehicle
Preference vehicle model information derives from each vehicle, so as to be determined as the preference of user with vehicle corresponding to each preference vehicle model information
Vehicle, to characterize the vehicle of the required preference of user.
Step S30 is ranked up each preference vehicle, generates vehicle sequence, and according to each in the vehicle sequence
The preference vehicle puts in order, and obtains each target vehicle model information；
In view of different object run number and object run duration, user is characterized to the preference journey of each preference vehicle
It spends different；The object run number corresponding to the preference vehicle is more, and object run duration is longer, then characterizes user to this
The preference of preference vehicle is higher.In order to characterize user to the preference of a preference vehicle, each preference vehicle is arranged
Sequence generates vehicle sequence；And the higher preference vehicle of preference is arranged in forefront, and the preference vehicle row that preference is lower
It is listed in rank rear；By vehicle sequence, the preference for characterizing user declines from high to low.Because of preference and object run number
And object run duration is related, thus when being ranked up to each preference vehicle, according to target corresponding to each preference vehicle
Number of operations and/or object run duration carry out；Specifically, the step of each preference vehicle being ranked up, generating vehicle sequence
Include:
Step S31 reads the loan data in the operation data, and according to the loan data and the operand
According to the loan attention rate ratio and preset ratio are compared, judges the loan attention rate ratio by generation loan attention rate ratio
Whether value is greater than the preset ratio；
Further, in order to promote purchase of the user to vehicle, 0vehicle marketing side is usually provided with loan mechanism, i.e. user
The vehicle of its preference can be bought by loan.If user has the demand by loan purchase vehicle, to vehicle
During information is browsed, credit information corresponding to each vehicle can be browsed, check the loan that each vehicle is supported
Amount of money degree, loan time limit etc..Using to credit information check data generated as the loan data in operation data, according to
It provides a loan relevant mark, the loan data is read from operation data, user is characterized by loan data and passes through the side of loan
The demand that formula buys vehicle is strong and weak.If demand is strong, can be predicted user the factor of vehicle price is considered it is less, can be
The high vehicle of its preference is bought in big degree；When being ranked up to preference vehicle, direct basis preference height into
Row sequence.And if demand is weak, when being ranked up to preference vehicle, then needs to consider the price factor of each preference vehicle, and
It is ranked up according to price factor.In order to characterize the power of loan purchase vehicle demand by loan data, it is preset with default
Ratio, and will be compared according to loan data and operation data loan attention rate ratio generated and the preset ratio, lead to
The size relation between loan attention rate ratio and preset ratio is crossed, to determine the power of loan purchase vehicle demand.
It include that user corresponds to the browsing time that credit information is browsed, and different automobile types institute to each vehicle in loan data
Corresponding browsing time is not identical, is added to each browsing time, obtains in operation data involved related to loan
Browsing total degree.The operations number in operation data is added simultaneously, obtains the behaviour checked to each vehicle
Make total degree；And then ratio is done with browsing total degree and operation total degree, obtained ratio result is attention rate ratio of providing a loan
Value, the number that characterization user checks credit information during checking to each information of vehicles.When loan attention rate ratio
Value is bigger, and the number that characterization user checks credit information is more, and the demand of user's loan purchase vehicle is stronger；It is on the contrary then illustrate
The demand of user's loan purchase vehicle is weaker.
Step S32, if more than the preset ratio, then to object run number corresponding to each preference vehicle and/
Or object run duration is integrated, and generates the preference coefficient of each preference vehicle, and according between each preference coefficient
Size relation, each preference vehicle is ranked up, generate vehicle sequence.
Further, when that will provide a loan attention rate ratio and preset ratio compares, attention rate ratio of judging to provide a loan is big
When preset ratio, then illustrate that the demand of user's loan purchase vehicle is stronger；When being ranked up to each preference vehicle, according to each preference
The preference height of vehicle carries out.And in order to characterize preference height, then to the corresponding object run time of each preference vehicle
The integration of several and/or object run duration, generates the preference coefficient of each preference vehicle；Wherein the numerical value of preference coefficient is bigger, institute's table
It is higher to levy preference, it is on the contrary then lower.Because each preference vehicle is by any one in object run number and object run duration
It determines, i.e., when the corresponding number of operations of the had vehicle model information of a certain vehicle is or to operate in duration there are any one be mesh
Number of operations or object run duration are marked, then the vehicle is preference vehicle；To in the preference coefficient for generating each preference vehicle
When, it is carried out according to object run number corresponding to each preference vehicle reality and/or object run duration.Such as preference vehicle
A, B, C, wherein number of operations a1 corresponding to A is object run number, and the operation duration a2 corresponding to it is not target behaviour
Make duration；Number of operations b1 corresponding to B is not object run number, and when the operation duration b2 corresponding to it is object run
It is long；Number of operations c1 corresponding to C is object run number, and the operation duration c2 corresponding to it is object run duration.Then
When generating the preference coefficient of preference vehicle A, then a1 is integrated；When generating the preference coefficient of preference vehicle B, then to b2
It is integrated；When generating the preference coefficient of preference vehicle C, then c1 and c2 are integrated.Specifically, to each preference vehicle institute
The step of corresponding object run number and/or object run duration are integrated, and the preference coefficient of each preference vehicle is generated packet
It includes:
Step S321 compares object run number corresponding to each preference vehicle and preset times section, determines
The number coefficient of each preference vehicle；
In order to be preset with multiple preset times sections by the height of object run number embodiment preference, and
Each preset times section is correspondingly arranged on different coefficients；Such as set the corresponding coefficient in preset times section [50~100] as
0.7, preset times section [100~150] corresponding coefficient is 0.8 etc..Different preferences is characterized by different coefficients,
The numerical value corresponding to the preset times section is bigger, and user's checks that number is more, then corresponding preference is higher, it is on the contrary then
Corresponding preference is lower.Object run number corresponding to each preference vehicle and each preset times section are compared, really
Determine the preset times section where the corresponding object run number of each preference vehicle；Corresponding to preset times section where this
Coefficient, the number coefficient of as each preference vehicle, characterization check how much is number to each preference vehicle.
Step S322 compares object run duration corresponding to each preference vehicle and preset duration section, determines
The duration coefficient of each preference vehicle；
Similarly, in order to pass through the height that object run duration embodies preference, multiple preset durations are preset with
Section, and each preset duration section is correspondingly arranged on different coefficients；It is corresponding such as to set preset duration section [5h~8h]
Coefficient is 0.7, and preset duration section [8h~12h] corresponding coefficient is 0.8 etc..Different preferences is characterized by different coefficients
Degree, the numerical value corresponding to the preset duration section is bigger, and user's checks that duration is longer, then corresponding preference is higher,
On the contrary then corresponding preference is lower.By object run duration corresponding to each preference vehicle and each preset duration section pair
Than determining the preset duration section where the corresponding object run duration of each preference vehicle；Preset duration section institute where this
Corresponding coefficient, the duration coefficient of as each preference vehicle, characterization check duration length to each preference vehicle.
Step S323 reads the first weighted value corresponding with the number of operations and the operation duration and the second power
Weight values, and with first weighted value and the second weighted value respectively to the number coefficient and duration coefficient of each preference vehicle
Weighting processing, generates the preference coefficient of each preference vehicle.
Understandably, the influence of object run number and object run duration to whole preference height is different, is
The influence to whole preference height both is embodied, the first power has been set separately for number of operations and operation duration in advance
Weight values and the second weighted value.After determined number coefficient and duration coefficient, first weighted value and the second weighted value are read
It takes, and processing is weighted to number coefficient and duration coefficient respectively with the first weighted value of the reading and the second weighted value, it is raw
At the preference coefficient of each preference vehicle.Appoint because existing in only corresponding object run number and object run duration in each preference vehicle
One the case where, that is, the case where only existing a certain item in number coefficient and duration coefficient；To in the process for being weighted processing
In, it is carried out according to the case where the had number coefficient of each preference vehicle and duration coefficient.When preference vehicle only has number coefficient
Or only have duration coefficient, then number coefficient is weighted by the first weighted value, or by the second weighted value to duration coefficient into
Row weighting；When preference vehicle has number coefficient and duration coefficient, then with the first weighted value and the second weighted value respectively to two
Person is weighted.Such as above-mentioned preference vehicle A, B, C, if the first weighted value is k1, the second weighted value is k2；Then for A institute
The preference coefficient of generation is k1*a1, and preference coefficient generated for B is k2*b2, and preference coefficient generated for C is
(k1*c1+k2*c2).The preference coefficient of obtained each preference vehicle is handled by weighting to characterize user to each preference vehicle
Preference height, wherein obtained preference coefficient is bigger, then corresponding preference is higher, on the contrary then lower.
Further, after the preference coefficient for generating each preference vehicle, the preference that can be characterized according to each preference coefficient
Degree height, is ranked up each preference vehicle, generates vehicle sequence.Specifically, it is compared between each preference coefficient, really
Size relation between fixed each preference coefficient；According to the size relation, each preference vehicle is ranked up, preference coefficient is big
Preference vehicle is arranged in forefront, and the small preference vehicle of preference coefficient is arranged in rank rear；After the completion of the arrangement of each preference vehicle,
Produce the vehicle sequence of characterization user preference degree height.
Further, in attention rate ratio and the preset ratio comparison of providing a loan, obtained comparing result is to borrow
Money attention rate ratio is not more than the situation of preset ratio, then illustrates that the demand of user's loan purchase vehicle is weaker, to each preference vehicle
When being ranked up, the price factor in conjunction with each preference vehicle is needed to carry out.Specifically, judge whether loan attention rate ratio is greater than
Include: after the step of preset ratio
Step S33 reads the pricing information of each preference vehicle if being not more than the preset ratio, and acquire with
The corresponding basic information of the economic situation of the user；
When by contrast determine loan attention rate ratio be not more than preset ratio when, then to the pricing information of each preference vehicle into
Row is read, while acquiring the basic information of user.The basic information includes gender, age, educational background, job specification, the work of user
Make industry, inhabitation address etc., to be reflected with economic situation of the category information to user.
Step S34 determines the savings information of the user according to the basic information, and by the savings information and respectively
The pricing information comparison, generates each comparing result；
Further, because the basic information of user reflects the economic situation of user, so as to according to basic information to
The income information at family is predicted；Wherein the inhabitation address in basic information characterizes the city that user is worked, and can be obtained
The city average income in the city；And work industry and job specification characterize user where industry relative to city where it
Income, i.e. available work industry and job specification optimize city average income.When work industry and property are heat relatively
Door high salary industry is then optimized for being greater than city average income multiplied by one 1 coefficient, and when work industry and property are relatively
Unexpected winner basic activity is then optimized for city average income multiplied by a coefficient less than 1；By optimizing to obtain the base of user
This income.The basic expenditure of user is predicted simultaneously, by identical as its gender and age in city where reading user
Basic expenditure of the average outgo of personnel as user.And then user can be obtained with the basic income predicted and basic expenditure
Income data, according in basic information age and educational background speculate length of service of user, with length of service and income data
It is multiplied, generates the savings data of user.
In view of the changing factor of economy in every year and the factor of user working experience itself, apart from the current time limit time
Income data in the remoter time limit and the income data difference in the current time limit are bigger；So that savings data generated
Could possibly be higher than the actual savings data of user, in order to improve savings data accuracy, according to the length of service to savings data into
Row adjustment.Determine that the regulation coefficient less than 1 then illustrates each year when the length of service is shorter according to the length of service when adjustment
Between income and expenditure between variation it is little, and regulation coefficient is set to close in 1；And when the length of service is longer,
Then illustrate changing greatly between income and expenditure between each year, and regulation coefficient is set as to be smaller than 1.With adjustment
Coefficient is multiplied with savings data, the savings data after being adjusted；The savings data adjusted are determined as to the savings of user
Information, Lai Fanying user it is current dominate the amount of money.
Further, the pricing information with the savings information of user one by one with each preference vehicle compares, and is put aside
Comparing result between information and each pricing information is reflected by each comparing result between savings information and each price
Matching degree；Wherein pricing information is more lower than the degree of savings information, then characterizes between the pricing information and savings information
Matching degree it is higher, it is on the contrary then lower.
Step S35 is ranked up each preference vehicle according to each comparing result, generates vehicle sequence.
Further, each comparing result generated characterizes the matching degree between savings information and each pricing information,
Matching degree is higher to illustrate that user is stronger to the purchasing power of the vehicle for the pricing information for generating the matching degree；Thus and right
Than the matching degree height that result is characterized, each preference vehicle is ranked up, the high pricing information institute of matching degree is right
The preference vehicle answered is arranged in forefront, and preference vehicle corresponding to the low pricing information of matching degree is arranged in rank rear.In
After the completion of each preference vehicle arrangement, that is, the vehicle sequence of characterization user's purchasing power power is produced, and in the vehicle sequence
The preference vehicle repeatedly paid close attention to for user.
After arranging generation vehicle sequence to each vehicle, then putting in order according to preference vehicle each in vehicle sequence, right
Wherein the vehicle model information of preference vehicle is obtained, so that each preference vehicle pair in acquired each vehicle model information and vehicle sequence
It answers.Acquired vehicle model information includes manufacturer, vehicle model, engine model, price, horsepower etc.；The vehicle of the acquisition is believed
Breath is used as target vehicle model information, is recommended with the vehicle to its source.
Each target vehicle model information is output to the end that the user held based on described put in order by step S40
End.
Further, each preference vehicle puts in order according to vehicle sequence, gets the mesh of each preference vehicle
After marking vehicle model information, because putting in order in vehicle sequence characterizes the preference power or purchasing power power of user；So as to
It puts in order according to this and each target vehicle model information is output to the terminal that user holds such as computer, mobile phone, for each mesh
The corresponding vehicle of mark vehicle model information is recommended.It can be numbered according to putting in order during recommendation, be recommended with characterizing
Strength, the preference of the strength and user are strong and weak or purchasing power power is corresponding.
The method for pushing of the information of vehicles of the present embodiment, it is clear to the progress of each preset vehicle information by being based on network to user
Operation data generated of looking at acquires, and screens to the operation data of the acquisition, determines the vehicle model information of user's browsing；Again
Number of operations corresponding with each vehicle model information and operation duration in read operation data, and when according to each number of operations and each operation
It is long, determine the preference vehicle of user；Hereafter each preference vehicle is ranked up, generates vehicle sequence, and according in vehicle sequence
Each preference vehicle puts in order, and obtains target vehicle model information；And then each target vehicle model information is based on putting in order being output to
The terminal that user is held is realized to user and recommends vehicle corresponding with each target vehicle model information.In this programme preference vehicle according to
It is generated according to the number of operations and operation duration of user's browsing, and vehicle sequence is arranged according to preference vehicle；So that according to vehicle sequence
The acquired target vehicle model information of column is to meet the vehicle model information of user preference, which is output to user terminal
Recommended, recommended vehicle may make accurately to meet the preference demand of user, improves the push of information of vehicles
Accuracy.
Further, in another embodiment of method for pushing of information of vehicles of the present invention, it is described to the operation data into
Include: before the step of row screening
Step S50 reads the identity information of the user, and according to the identity information, determines whether the user has
There is user's vehicle；
Understandably, user browses each preset vehicle information in the network platform sold to vehicle
Purpose, it may be possible to there is the demand of purchase vehicle value-added service, and not there is purchase vehicle demand.Before buying vehicle value-added service
Mention is that user has had purchased vehicle, and has user's vehicle；To in order to user browse preset vehicle information purpose into
Row is distinguished, it is thus necessary to determine that whether user has had user's vehicle.The identity information of user is read out, and according to user's
Identity information is inquired to vehicle authority application, to determine whether the identity information is associated with vehicle.It is true when being inquired
Determine identity information and be associated with vehicle, then illustrates that user has had user's vehicle；And determine that identity information does not close when being inquired
Join vehicle, then illustrates that user does not have user's vehicle.
Step S60 reads the vehicle insurance information of user's vehicle, and according to each if the user has user's vehicle
The vehicle insurance information recommends vehicle insurance to the user；
Further, in this embodiment vehicle value-added service be mainly concerned with compulsory insurance for traffic accident of motor-drivenvehicle, vehicle loss danger, the third party duty
Appoint the vehicle insurances such as danger, when through determining that user has vehicle, then the purpose for illustrating that user browses each preset vehicle information is to need to purchase
Buying car danger can recommend vehicle insurance to user according to vehicle insurance information corresponding to user's vehicle that user has had at this time.Specifically
Ground is read out the vehicle insurance information of user's vehicle, the vehicle insurance information include vehicle insurance type, all types of vehicle insurances corresponding time limit,
Be in danger record etc. various information relevant to vehicle insurance.And then according to each vehicle insurance information, recommend vehicle insurance to user；Wherein recommending can be according to
It is carried out according to all types of vehicle insurances corresponding time limit, that is, is directed to and recommends overdue vehicle insurance.Specifically, believed according to each vehicle insurance
It ceases, includes: to the step of user's recommendation vehicle insurance
Step S61, by each vehicle insurance information timing information and the default time limit compare, judge each timing information
In with the presence or absence of the target timing information for being less than the default time limit；
Step S62 is less than the target timing information in default time limit, it is determined that corresponding with the target timing information if it exists
Vehicle insurance type；
Further, characterization is preset i.e. by the overdue default time limit, such as one month deadline date of set distance
Time compares as the default time limit, and by the timing information in vehicle insurance information with the default time limit.Time limit in the vehicle insurance information
Information is bought the length of time information of the respective time expiry of distance in every vehicle insurance by user's vehicle；As user's vehicle is bought
Vehicle insurance include p1, p2 and p3, it is q3 that wherein the time expiry of p1, which is the time expiry that the time expiry of q1, p2 are q2, p3, and
The time span information of current time distance q1, q2, q3 are respectively d1, d2 and d3；D1, d2 and the d3 are then in vehicle insurance information
Timing information.Each timing information and default time limit are compared, the size between each timing information and default timing information is generated
Relationship；When size relation is that timing information is less than default timing information, then illustrate that vehicle insurance corresponding to timing information will arrive
Phase, and when size relation is that timing information is not less than default timing information, then illustrate that vehicle insurance corresponding to timing information motivates
Time expiry is longer.By judging that the size for being less than default timing information with the presence or absence of timing information in each size relation is closed
System, whether there is the target timing information for being less than the default time limit in the information that fixes a time frame；Corresponding to the target timing information
Vehicle insurance will expire.There is the target timing information for being less than the default time limit in through each timing information of determination, then by the target time limit
The vehicle insurance in information institute source determines vehicle insurance type corresponding with target timing information, to inquire vehicle corresponding with the vehicle insurance type
Recommended danger.
Step S63 reads information of being in danger corresponding with user's vehicle, and according to the information of being in danger, to the use
Recommend vehicle insurance corresponding with the vehicle insurance type in family.
Understandably, user's vehicle in use there may be with i.e. by the corresponding situation of being in danger of overdue vehicle insurance,
By overdue vehicle insurance be such as vehicle loss danger, and user's vehicle is in use by hail, and by insurance institution into
Claims Resolution is gone；Claims Resolution caused by the hail be with i.e. by the corresponding situation of being in danger of overdue vehicle insurance.For the situation of being in danger,
The vehicle insurance corresponding with vehicle insurance type that different mechanisms can be provided is different in price or on the time limit.In order to recommend to meet
The vehicle insurance of user demand, information of being in danger corresponding to user's vehicle is read out, wherein packet of being in danger includes dangerous number, each time
The time being in danger and primary responsibility party etc.；Determine each vehicle insurance to be recommended according to the information of being in danger, the vehicle insurance to be recommended from
Different mechanisms, and it is corresponding with the vehicle insurance type of required recommendation.Information possessed by each vehicle insurance to be recommended is carried out pair
Than determining relatively preferential maximum vehicle insurance to be recommended；Or determine in each vehicle insurance to be recommended, user check number it is most wait push away
Recommend vehicle insurance；Using the preferential maximum vehicle insurance to be recommended or check the most vehicle insurance to be recommended of number as corresponding with vehicle insurance type
Vehicle insurance is recommended to user.
It should be noted that user can also buy other vehicles when even if user has user's vehicle；To when through true
User is determined with vehicle, and judges then to illustrate in each timing information there is no when the target timing information for being less than the default time limit
The purpose that user browses preset vehicle information is to need to buy other vehicles.Operation data collected is sieved at this time
Choosing to determine the preference vehicle for meeting user demand preference, and each preference vehicle generation vehicle sequence is recommended；This is specific
The way of recommendation it is similar with the way of recommendation of above-mentioned first embodiment, this will not be repeated here.
Step S70, if the user does not have the step of user's vehicle, the operation data is screened in execution.
Further, when through determining that user does not have user's vehicle, then illustrate that user browses the mesh of each preset vehicle information
Be to need to buy vehicle, to be screened to operation data collected, to determine the preference for meeting user demand preference
Vehicle, and each preference vehicle generation vehicle sequence is recommended；The specific way of recommendation and above-mentioned first embodiment push away
It is similar to recommend mode, this will not be repeated here.
In addition, referring to figure 2., the present invention provides a kind of driving means of information of vehicles, in pushing away for information of vehicles of the present invention
It send in device first embodiment, the driving means of the information of vehicles includes:
Acquisition module 10 carries out browsing operand generated based on network for acquiring user to each preset vehicle information
According to, and the operation data is screened, determine the vehicle model information that the user is browsed；
Determining module 20, for reading number of operations corresponding with each vehicle model information and operation in the operation data
Duration, and according to each number of operations and each operation duration, determine the preference vehicle of the user；
Sorting module 30 generates vehicle sequence, and according to the vehicle sequence for being ranked up to each preference vehicle
Each preference vehicle puts in order in column, obtains each target vehicle model information；
Recommending module 40 is output to the user and is held for each target vehicle model information to be based on described put in order
Some terminals.
The driving means of the information of vehicles of the present embodiment is based on network to each preset vehicle to user by acquisition module 10
Information carries out browsing operation data acquisition generated, and screens to the operation data of the acquisition, determines user's browsing
Vehicle model information；Again by number of operations corresponding with each vehicle model information in 20 read operation data of determining module and operation duration, and
According to each number of operations and each operation duration, the preference vehicle of user is determined；Hereafter by sorting module 30 to each preference vehicle into
Row sequence generates vehicle sequence, and putting in order according to preference vehicle each in vehicle sequence, obtains target vehicle model information；Into
And each target vehicle model information is output to the terminal that user held based on putting in order by recommending module 40, is realized and is recommended to user
Vehicle corresponding with each target vehicle model information.Preference vehicle is long-living according to the number of operations of user's browsing and when operation in this programme
At, and vehicle sequence is arranged according to preference vehicle；So that being to meet user according to target vehicle model information acquired in vehicle sequence
The target vehicle model information is output to user terminal and recommended, may make recommended vehicle accurate by the vehicle model information of preference
The preference demand for meeting user, improve the accuracy of the push of information of vehicles.
Further, in another embodiment of driving means of information of vehicles of the present invention, the determining module further include:
First comparison unit determines each operation time for comparing each number of operations and the first preset threshold
It is greater than the object run number of first preset threshold in number；
Second comparison unit, for comparing each operation duration and the second preset threshold, when determining each operation
It is greater than the object run duration of second preset threshold in length；
Determination unit, for determine in each vehicle model information with the object run number and/or object run duration
Corresponding preference vehicle model information, and vehicle corresponding with each preference vehicle model information is determined as to the preference vehicle of the user
Type.
Further, in another embodiment of driving means of information of vehicles of the present invention, the sorting module further include:
Reading unit, for reading the loan data in the operation data, and according to the loan data and the behaviour
Make data, generate loan attention rate ratio, the loan attention rate ratio and preset ratio are compared, judges the loan concern
Whether degree ratio is greater than the preset ratio；
Sequencing unit is used for if more than the preset ratio, then to object run corresponding to each preference vehicle time
Several and/or object run duration is integrated, and generates the preference coefficient of each preference vehicle, and according to each preference coefficient
Between size relation, each preference vehicle is ranked up, generate vehicle sequence.
Further, in another embodiment of driving means of information of vehicles of the present invention, the sequencing unit is also used to:
Object run number corresponding to each preference vehicle and preset times section are compared, determine each preference
The number coefficient of vehicle；
Object run duration corresponding to each preference vehicle and preset duration section are compared, determine each preference
The duration coefficient of vehicle；
The first weighted value corresponding with the number of operations and the operation duration and the second weighted value are read, is used in combination
First weighted value and the number coefficient to each preference vehicle and the duration coefficient weighting processing respectively of the second weighted value,
Generate the preference coefficient of each preference vehicle.
Further, in another embodiment of driving means of information of vehicles of the present invention, the sorting module further include:
Acquisition unit, if reading the pricing information of each preference vehicle, and adopt for being not more than the preset ratio
Collect basic information corresponding with the economic situation of the user；
First generation unit, for according to the basic information, determining the savings information of the user, and by the savings
Information and each pricing information comparison, generate each comparing result；
Second generation unit generates vehicle for being ranked up to each preference vehicle according to each comparing result
Sequence.
Further, in another embodiment of driving means of information of vehicles of the present invention, the acquisition module is also used to:
The identity information of the user is read, and according to the identity information, determines whether the user has user's vehicle
；
If the user has user's vehicle, the vehicle insurance information of user's vehicle is read, and according to each vehicle insurance
Information recommends vehicle insurance to the user；
If the user does not have the step of user's vehicle, the operation data is screened in execution.
Further, in another embodiment of driving means of information of vehicles of the present invention, the acquisition module is also used to:
By in each vehicle insurance information timing information and the default time limit comparison, judge whether deposit in each timing information
In the target timing information for being less than the default time limit；
It is less than the target timing information in default time limit if it exists, it is determined that vehicle insurance class corresponding with the target timing information
Type；
Read corresponding with user's vehicle information of being in danger, and according to the information of being in danger, Xiang Suoshu user recommend and
The corresponding vehicle insurance of the vehicle insurance type.
Wherein, each virtual functions module of the driving means of above-mentioned information of vehicles is stored in pushing away for information of vehicles shown in Fig. 3
It send in the memory 1005 of equipment, when processor 1001 executes the push products of information of vehicles, realizes each in embodiment illustrated in fig. 2
The function of a module.
Referring to Fig. 3, Fig. 3 is the device structure schematic diagram for the hardware running environment that present invention method is related to.
The pushing equipment of information of vehicles of the embodiment of the present invention can be PC (personal computer, personal computer),
It is also possible to the terminal devices such as smart phone, tablet computer, E-book reader, portable computer.
As shown in figure 3, the pushing equipment of the information of vehicles may include: processor 1001, such as CPU (Central
Processing Unit, central processing unit), memory 1005, communication bus 1002.Wherein, communication bus 1002 for realizing
Connection communication between processor 1001 and memory 1005.Memory 1005 can be high-speed RAM (random access
Memory, random access memory), it is also possible to stable memory (non-volatile memory), such as disk storage
Device.Memory 1005 optionally can also be the storage device independently of aforementioned processor 1001.
Optionally, the pushing equipment of the information of vehicles can also include user interface, network interface, camera, RF
(Radio Frequency, radio frequency) circuit, sensor, voicefrequency circuit, WiFi (Wireless Fidelity, WiMAX) mould
Block etc..User interface may include display screen (Display), input unit such as keyboard (Keyboard), and optional user connects
Mouth can also include standard wireline interface and wireless interface.Network interface optionally may include the wireline interface, wireless of standard
Interface (such as WI-FI interface).
It will be understood by those skilled in the art that the pushing equipment structure of information of vehicles shown in Fig. 3 is not constituted to vehicle
The restriction of the pushing equipment of information may include perhaps combining certain components or not than illustrating more or fewer components
Same component layout.
As shown in figure 3, as may include operating system, net in a kind of memory 1005 of computer readable storage medium
The push products of network communication module and information of vehicles.Operating system be manage and control information of vehicles pushing equipment hardware and
The program of software resource supports the operation of the push products and other softwares and/or program of information of vehicles.Network communication module
For realizing the communication between each component in the inside of memory 1005, and with other hardware in the pushing equipment of information of vehicles and soft
It is communicated between part.
In the pushing equipment of information of vehicles shown in Fig. 3, processor 1001 is used to execute to store in memory 1005
The push products of information of vehicles realizes the step in each embodiment of the method for pushing of above-mentioned information of vehicles.
The present invention provides a kind of computer readable storage medium, the computer-readable recording medium storage have one or
More than one program of person, the one or more programs can also be executed by one or more than one processor with
Step in each embodiment of method for pushing for realizing above-mentioned information of vehicles.
It should also be noted that, herein, the terms "include", "comprise" or its any other variant are intended to non-
It is exclusive to include, so that the process, method, article or the device that include a series of elements not only include those elements,
It but also including other elements that are not explicitly listed, or further include solid by this process, method, article or device
Some elements.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including
There is also other identical elements in the process, method of the element, article or device.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in one as described above
In computer readable storage medium (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that a terminal device (can
To be mobile phone, computer, server or the network equipment etc.) execute method described in each embodiment of the present invention.
The above description is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all at this
Under the design of invention, using equivalent structure transformation made by description of the invention and accompanying drawing content, or directly/it is used in it indirectly
He is included in scope of patent protection of the invention relevant technical field.
Claims (10)
1. a kind of method for pushing of information of vehicles, which is characterized in that the method for pushing of the information of vehicles the following steps are included:
Acquisition user is based on network and carries out browsing operation data generated to each preset vehicle information, and to the operation data
It is screened, determines the vehicle model information that the user is browsed；
Number of operations corresponding with each vehicle model information and operation duration in the operation data are read, and according to each behaviour
Make number and each operation duration, determines the preference vehicle of the user；
Each preference vehicle is ranked up, generates vehicle sequence, and according to the preference vehicle each in the vehicle sequence
Put in order, obtain each target vehicle model information；
Each target vehicle model information is output to the terminal that the user held based on described put in order.
2. the method for pushing of information of vehicles as described in claim 1, which is characterized in that it is described according to each number of operations and
Each operation duration, the step of determining the preference vehicle of the user include:
Each number of operations and the first preset threshold are compared, determines and is greater than the described first default threshold in each number of operations
The object run number of value；
Each operation duration and the second preset threshold are compared, determines and is greater than the described second default threshold in each operation duration
The object run duration of value；
Determine preference vehicle letter corresponding with the object run number and/or object run duration in each vehicle model information
Breath, and vehicle corresponding with each preference vehicle model information is determined as to the preference vehicle of the user.
3. the method for pushing of information of vehicles as described in claim 1, which is characterized in that described to be carried out to each preference vehicle
Sequence, generate vehicle sequence the step of include:
The loan data in the operation data is read, and according to the loan data and the operation data, generates loan and closes
The loan attention rate ratio and preset ratio are compared, judge whether the loan attention rate ratio is greater than institute by note degree ratio
State preset ratio；
If more than the preset ratio, then to object run number corresponding to each preference vehicle and/or object run when
Length is integrated, and generates the preference coefficient of each preference vehicle, and according to the size relation between each preference coefficient, right
Each preference vehicle is ranked up, and generates vehicle sequence.
4. the method for pushing of information of vehicles as claimed in claim 3, which is characterized in that described right to each preference vehicle institute
The step of object run number and/or object run duration answered are integrated, and the preference coefficient of each preference vehicle is generated
Include:
Object run number corresponding to each preference vehicle and preset times section are compared, determine each preference vehicle
Number coefficient；
Object run duration corresponding to each preference vehicle and preset duration section are compared, determine each preference vehicle
Duration coefficient；
The first weighted value corresponding with the number of operations and the operation duration and the second weighted value are read, and described in use
First weighted value and the number coefficient to each preference vehicle and the duration coefficient weighting processing respectively of the second weighted value, generate
The preference coefficient of each preference vehicle.
5. the method for pushing of information of vehicles as claimed in claim 3, which is characterized in that the judgement loan attention rate ratio
Include: after the step of whether value is greater than the preset ratio
If being not more than the preset ratio, the pricing information of each preference vehicle is read, and acquire the warp with the user
The corresponding basic information of Ji situation；
According to the basic information, the savings information of the user is determined, and by the savings information and each pricing information
Comparison, generates each comparing result；
According to each comparing result, each preference vehicle is ranked up, generates vehicle sequence.
6. the method for pushing of information of vehicles as described in any one in claim 1-5, which is characterized in that described to the operand
Include: before according to the step of being screened
The identity information of the user is read, and according to the identity information, determines whether the user has user's vehicle；
If the user has user's vehicle, the vehicle insurance information of user's vehicle is read, and according to each vehicle insurance information,
Vehicle insurance is recommended to the user；
If the user does not have the step of user's vehicle, the operation data is screened in execution.
7. the method for pushing of information of vehicles as claimed in claim 6, which is characterized in that it is described according to each vehicle insurance information,
Include: to the step of user recommendation vehicle insurance
By in each vehicle insurance information timing information and the default time limit comparison, judge in each timing information whether there is it is small
In the target timing information in default time limit；
It is less than the target timing information in default time limit if it exists, it is determined that vehicle insurance type corresponding with the target timing information；
Read corresponding with user's vehicle information of being in danger, and according to the information of being in danger, Xiang Suoshu user's recommendation with it is described
The corresponding vehicle insurance of vehicle insurance type.
8. a kind of driving means of information of vehicles, which is characterized in that the driving means of the information of vehicles includes:
Acquisition module carries out each preset vehicle information to browse operation data generated for acquiring user based on network, and
The operation data is screened, determines the vehicle model information that the user is browsed；
Determining module, for reading number of operations corresponding with each vehicle model information and operation duration in the operation data,
And according to each number of operations and each operation duration, the preference vehicle of the user is determined；
Sorting module generates vehicle sequence, and according to each in the vehicle sequence for being ranked up to each preference vehicle
The preference vehicle puts in order, and obtains each target vehicle model information；
Recommending module, for each target vehicle model information to be output to the end that the user held based on described put in order
End.
9. a kind of pushing equipment of information of vehicles, which is characterized in that the pushing equipment of the information of vehicles includes: memory, place
Manage the push products of device, communication bus and the information of vehicles being stored on the memory；
The communication bus is for realizing the connection communication between processor and memory；
The processor is used to execute the push products of the information of vehicles, to realize as described in any one of claim 1-7
Information of vehicles method for pushing the step of.
10. a kind of computer readable storage medium, which is characterized in that be stored with vehicle letter on the computer readable storage medium
It realizes when the push products of the push products of breath, the information of vehicles is executed by processor such as any one of claim 1-7 institute
The step of method for pushing for the information of vehicles stated.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
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| CN201910762719.1A CN110517072A (en) | 2019-08-14 | 2019-08-14 | Method for pushing, device, equipment and the computer readable storage medium of information of vehicles |
| PCT/CN2019/118364 WO2021027158A1 (en) | 2019-08-14 | 2019-11-14 | Vehicle information pushing method, apparatus and device, and computer-readable storage medium |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910762719.1A CN110517072A (en) | 2019-08-14 | 2019-08-14 | Method for pushing, device, equipment and the computer readable storage medium of information of vehicles |
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| WO (1) | WO2021027158A1 (en) |
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| CN115545829A (en) * | 2022-09-29 | 2022-12-30 | 中航信移动科技有限公司 | Checking display system of server identification, electronic equipment and storage medium |
| CN115545829B (en) * | 2022-09-29 | 2024-05-31 | 中航信移动科技有限公司 | Checking display system of server identification, electronic equipment and storage medium |
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